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Real-Time SPC: Statistical Process Control Software

Real-Time SPC helps manufacturing quality teams monitor process stability and respond to variation. It is designed for organizations that need to detect quality issues early to help reduce scrap and rework.

At a glance

Best for
Manufacturing companies, Quality control teams, Process engineers, Production supervisors
Pricing
Pricing was not clearly available from the provided evidence. A free trial of select Minitab products is available; buyers should confirm current pricing on the vendor website.
Key use cases
Process Stability Monitoring, Quality Variation Response, Root Cause Analysis, Digital Quality Reporting
Integrations
Minitab Statistical Software, SAP Digital Manufacturing
Visit real time spcreal time spc software interface screenshot

Real-Time SPC is a cloud-based statistical process control tool designed for the manufacturing industry. It supports live quality monitoring by automating the creation of control charts and dashboards, which helps teams monitor process stability.

The software is designed for a range of users, including shop-floor operators, supervisors, quality engineers, and management. It supports the identification of process variation through a variety of chart types and allows for the assignment of access permissions based on a user's role.

For root cause analysis, the tool includes predictive analytics and machine learning capabilities. These functions are further supported when used with Minitab Statistical Software for deeper data exploration.

Buyers should confirm how the software integrates with their specific data sources and whether the available chart types align with their quality control standards.

Key Features

  • Automated SPC Charts

    Supports multiple chart types, including I-MR, Xbar-R, Xbar-S, I-MR-R/S, EWMA, P, NP, Laney P', C, U, and Laney U' that update automatically.

  • Real-Time Alerts

    Sends customizable notifications via email or text to notify teams when quality variation is detected.

  • Centralized Dashboards

    Provides a cloud-based view of quality data for the monitoring of process stability.

  • Predictive Analytics

    Includes machine learning capabilities designed to assist in performing root cause analysis.

  • Access Management

    Supports the assignment of specific permissions to operators, supervisors, and engineers.

Use Cases

  • Process Stability Monitoring

    Using automated SPC charts to observe production trends and detect variation in real time.

  • Quality Variation Response

    Configuring text and email alerts to notify quality teams when a process varies.

  • Root Cause Analysis

    Applying predictive analytics and machine learning to help identify the source of manufacturing defects.

  • Digital Quality Reporting

    Using centralized dashboards to share updated quality insights across different management levels.

Best For

  • Manufacturing companies
  • Quality control teams
  • Process engineers
  • Production supervisors

Integrations

  • Minitab Statistical Software
  • SAP Digital Manufacturing

Pricing

Pricing was not clearly available from the provided evidence. A free trial of select Minitab products is available; buyers should confirm current pricing on the vendor website.

FAQ

What types of charts does Real-Time SPC support?

The software supports a variety of charts, including I-MR, Xbar-R, Xbar-S, I-MR-R/S, EWMA, P, NP, Laney P', C, U, and Laney U'.

Who is Real-Time SPC designed for?

It is designed for manufacturing companies and quality control teams, including operators, supervisors, engineers, and management.

Does Real-Time SPC offer a trial?

Yes, a free trial of select Minitab products is available.

Source category: Operations

Source subcategory: Application Performance Monitoring

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Categories

How AI is used

Real-Time SPC is a live statistical process control software by Minitab designed for manufacturing quality teams. It supports the monitoring of process stability through automated charts and real-time alerts to help reduce waste. Root cause analysis is supported by predictive analytics and machine learning, and is further enhanced when integrated with Minitab Statistical Software.

Pros & Cons

Pros

  • Wide variety of supported SPC chart types
  • Direct alerts via text and email
  • Integration with SAP Digital Manufacturing
  • Cloud-based automatic updates for dashboards

Cons

  • Deeper root cause analysis may require the separate Minitab Statistical Software
  • Technical requirements for initial data source configuration are not specified in provided evidence